{"id":"W2964260654","doi":"10.1142/s0129183117500449","title":"Corrections to finite-size scaling in the 3D Ising model based on nonperturbative approaches and Monte Carlo simulations","year":2017,"lang":"en","type":"article","venue":"International Journal of Modern Physics C","topic":"Theoretical and Computational Physics","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Ising model; Scaling; Exponent; Monte Carlo method; Statistical physics; Lattice (music); Partition function (quantum field theory); Physics; Mathematics; Statistics; Quantum mechanics; Geometry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001389695,0.0001152055,0.0001371348,0.00004750937,0.0002135954,0.0002284988,0.0004051958,0.00001774009,0.000005738559],"category_scores_gemma":[0.00007572489,0.00008677629,0.00009390523,0.00004291462,0.00006840729,0.0002420206,0.00005585565,0.0002390216,0.000001807495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003177151,"about_ca_system_score_gemma":0.00006105686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002194264,"about_ca_topic_score_gemma":0.000001996771,"domain_scores_codex":[0.999124,0.00004141951,0.0002299635,0.00012776,0.0003724791,0.0001043751],"domain_scores_gemma":[0.9986089,0.0007269018,0.0002337109,0.0001450077,0.0002355928,0.00004984225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006132644,0.0001957232,0.001744515,9.245492e-7,0.00004371375,0.000001333186,0.001240459,0.9199915,0.00004670533,0.04071787,0.000011613,0.03594433],"study_design_scores_gemma":[0.0003459234,0.00002499009,0.001498747,0.00004823093,0.00001294147,3.585126e-7,0.00008951169,0.7224133,0.00007680885,0.2754128,0.00000841847,0.00006799388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3110883,0.000004429911,0.6845009,0.001653997,0.0001573106,0.00008355701,0.00006273575,0.000002975866,0.002445756],"genre_scores_gemma":[0.9958881,2.740834e-7,0.003188417,0.0003375147,0.0005373611,0.000004809381,0.000004181343,0.00001061882,0.00002870167],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6847998,"threshold_uncertainty_score":0.3538634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03682189940047941,"score_gpt":0.2891797562039883,"score_spread":0.2523578568035089,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}